Nous Hermes 1.0 needs ~21.3 GB VRAM. RTX A5000 24GB has 24.0 GB. With Q4_K_M quantization, expect ~98 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Tight fit
Decode
97.9 tok/s
TTFT
1977 ms
Safe context
16K
Memory
21.3 GB / 24.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 97.9 tok/s | 1078 ms | 16K |
| Coding | A | Tight fit | 97.9 tok/s | 1977 ms | 16K |
| Agentic Coding | F | Too heavy | 36.4 tok/s | 7739 ms | 16K |
| Reasoning | A | Tight fit | 97.9 tok/s | 2337 ms | 16K |
| RAG | F | Too heavy | 36.4 tok/s | 9673 ms | 16K |
How Nous Hermes 1.0 (9B params) fits at each quantization level on RTX A5000 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B65 |
Q3_K_S | 3 | 4.4 GB | Low | B66 |
NVFP4 | 4 |
Copy-paste commands to run Nous Hermes 1.0 on your machine.
Run
lms load Nous-Hermes-1.0 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 81.3 tok/s | |
| Qwen 3.5 27B | 27B | S | 35.3 tok/s |
Yes, RTX A5000 24GB can run Nous Hermes 1.0 with a A grade (Tight fit). Expected decode speed: 97.9 tok/s.
Nous Hermes 1.0 (9B parameters) requires approximately 21.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Nous Hermes 1.0 is Q4_K_M, which balances quality and memory efficiency.
On RTX A5000 24GB, Nous Hermes 1.0 achieves approximately 97.9 tokens per second decode speed with a time-to-first-token of 1977ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 1.0 on RTX A5000 24GB receives a A grade with 97.9 tok/s and 16K context.
On RTX A5000 24GB, Nous Hermes 1.0 can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/nous-hermes-1.0-on-a5000-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.0 GB |
| Medium |
| B66 |
Q4_K_M | 4 | 5.5 GB | Medium | B66 |
Q5_K_M | 5 | 6.5 GB | High | B67 |
Q6_K | 6 | 7.4 GB | High | B67 |
Q8_0 | 8 | 9.6 GB | Very High | B69 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | A70 |
| Qwen 3.6 27B | 27B | S | 35.4 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 84.1 tok/s |
| Qwen 3.5 35B A3B | 35B | A | 45.5 tok/s |